code: def project_shape_in_image(self, verts, R_t):
      verts_homo = verts
      if verts_homo.shape[1] == 3:
          ones = np.ones([verts_homo.shape[0], 1])
          verts_homo = np.concatenate([verts_homo, ones], axis=1)
      verts_out = verts_homo @ R_t @ self.M_proj @ self.M1
      w_ = verts_out[:, [3]]
      verts_out = verts_out / w_
      return verts_out
  
imports: import os
  import time
  import timm
  import glob
  import numpy
  import os.path
  import cv2
  import torch
  import torch.distributed
  from torch import nn
  from pathlib import Path
  from backbones import get_network
  from skimage import transform
  from scipy.spatial.transform import Rotation
label_desc: Use image node_id 2 for calling the JMLRInference obj's underlying member method code with example usage: obj.project_shape_in_image(verts, R_t) and returns: verts_out